# Biomedical Informatics and Data Science Training at Yale

> **NIH NIH T15** · YALE UNIVERSITY · 2020 · $495,630

## Abstract

PROJECTSUMMARY/ABSTRACT
The Yale Biomedical Informatics and Data Science Training Program—directed by Profs. Cynthia Brandt and
Michael Krauthammer— is based in the Yale Center for Medical Informatics (YCMI) and other academic units at
Yale, reflecting the diversity of Yale’s collaborative Biomedical Informatics research environment. Our training
focuses on the following informatics areas: 1) health care/clinical informatics, 2) translational bioinformatics, and
3) clinical research informatics.
Active research projects span a broad spectrum, from clinical decision support, to the development of new
statistical and bioinformatics approaches in translational genomics, to computational modeling of disease
processes. The scope of Biomedical Informatics activities is growing rapidly at Yale, with emerging opportunities
in interdisciplinary projects tackling large biomedical data sets. Accordingly, the grant features mentors with
expertise in Data Science, a curriculum with an elective focus on Biomedical Data Science, and provides training
in interdisciplinary research. Predoctoral training is carried out primarily in Yale’s interdepartmental PhD program
in Computational Biology and Bioinformatics (CBB), which was inaugurated in 2003 and recently accepted its
fourteenth class of students. Postdoctoral fellows with a doctoral degree in the health professions or in an area
of science other than informatics may enroll in one of two research-oriented graduate programs: studying for an
MS or PhD degree in CBB or for a Master of Health Science (MHS) degree in Yale's Clinical Informatics Track.
For postdoctoral trainees who already have a doctoral degree in informatics or a closely related field, degree
training may not be needed or appropriate. Postdoctoral training involves defining one or two research projects
which can be carried out independently, under faculty supervision. Depending on their specific backgrounds and
interests, postdoctoral fellows are encouraged to take part in in a variety of other activities, including participation
in institutional computing activities in both the clinical and bioscience arenas. The overall goal is to provide all
trainees with the necessary background and experience that will allow them to pursue productive academic and
research careers in Biomedical Informatics and Data Science. We are requesting support for 9 predoctoral
trainees and 6 postdoctoral trainees.

## Key facts

- **NIH application ID:** 9954151
- **Project number:** 5T15LM007056-34
- **Recipient organization:** YALE UNIVERSITY
- **Principal Investigator:** CYNTHIA A. BRANDT
- **Activity code:** T15 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2020
- **Award amount:** $495,630
- **Award type:** 5
- **Project period:** 1987-07-01 → 2022-06-30

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/9954151

## Citation

> US National Institutes of Health, RePORTER application 9954151, Biomedical Informatics and Data Science Training at Yale (5T15LM007056-34). Retrieved via AI Analytics 2026-05-24 from https://api.ai-analytics.org/grant/nih/9954151. Licensed CC0.

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